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Cloud Native Patterns

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Bilgin Ibryam
Bilgin Ibryam

Principles and Patterns for designing Cloud Native applications on Kubernetes

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Cloud Native Patterns Bilgin Ibryam (@bibryam), Architect, Red Hat
Cloud Native in Practice Applications adopting the principles of Microservices packaged as Containers orchestrated by Platforms running on top of Cloud infrastructure
Cloud Native Platforms
Common Abstractions and Primitives Application packaging (Container) Deployment unit (Pod) Declarative update/rollback (Deployment) Application placement (Scheduler) Artifact grouping (Label) Resources isolation (Container/Namespace) Service discovery & load balancing (Service)
10 Cloud Native... Principles Patterns Practices Traits http://leanpub.com/k8spatterns/
1. Observable Interior Process Health Check Application Readiness Health Check Application Liveness Health Check Metric collection Log aggregation Termination message
2. Life Cycle Conformance SIGTERM SIGKILL PreStop PostStart ReleaseMemory (may be in the future)
3. Declarative Updates
4. Predictable Resource Profile resources.limits.cpu resources.limits.memory resources.requests.cpu resources.requests.memory PersistentVolumeClaim
5. Dynamic Placement
6. Service Discovery & Load Balancing
7. (Scheduled) Batch Jobs Example batch jobs in Java JDK Timer JDK ScheduledExecutorService Quartz Scheduler Spring Batch Batch jobs in Kubernetes
8. Clustered Services How to run a single HA instance of a service? → Pod with 1 replica How to initialize an application with custom steps? → Init Containers How to run a process on every node? → DaemonSet How to manage a stateful service? → StatefulSet
9. Executable Application Manifest Application binaries → Container Deployment unit → Pod Artifact grouping → Labels Resource demands → request/limit/PVC Configurations → ConfigMap/Secret Resource management → Namespaces Update/rollback mechanism → Deployment
10. In Summary 1. Let the platform automate your routine tasks. (placement, updates, healthchecks, self-healing, auto-scaling) 2. Move XFR/NFR from your application to the platform. (service discovery, job mgmt, config mgmt, log aggregation, metric collection, etc) 3. Allow Developers to focus on the business domain. (show creativity and talent to create great domain designs, hidden behind beautiful APIs)

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Cloud Native Patterns

  • 1. Cloud Native Patterns Bilgin Ibryam (@bibryam), Architect, Red Hat
  • 2. Cloud Native in Practice Applications adopting the principles of Microservices packaged as Containers orchestrated by Platforms running on top of Cloud infrastructure
  • 4. Common Abstractions and Primitives Application packaging (Container) Deployment unit (Pod) Declarative update/rollback (Deployment) Application placement (Scheduler) Artifact grouping (Label) Resources isolation (Container/Namespace) Service discovery & load balancing (Service)
  • 6. 1. Observable Interior Process Health Check Application Readiness Health Check Application Liveness Health Check Metric collection Log aggregation Termination message
  • 7. 2. Life Cycle Conformance SIGTERM SIGKILL PreStop PostStart ReleaseMemory (may be in the future)
  • 9. 4. Predictable Resource Profile resources.limits.cpu resources.limits.memory resources.requests.cpu resources.requests.memory PersistentVolumeClaim
  • 11. 6. Service Discovery & Load Balancing
  • 12. 7. (Scheduled) Batch Jobs Example batch jobs in Java JDK Timer JDK ScheduledExecutorService Quartz Scheduler Spring Batch Batch jobs in Kubernetes
  • 13. 8. Clustered Services How to run a single HA instance of a service? → Pod with 1 replica How to initialize an application with custom steps? → Init Containers How to run a process on every node? → DaemonSet How to manage a stateful service? → StatefulSet
  • 14. 9. Executable Application Manifest Application binaries → Container Deployment unit → Pod Artifact grouping → Labels Resource demands → request/limit/PVC Configurations → ConfigMap/Secret Resource management → Namespaces Update/rollback mechanism → Deployment
  • 15. 10. In Summary 1. Let the platform automate your routine tasks. (placement, updates, healthchecks, self-healing, auto-scaling) 2. Move XFR/NFR from your application to the platform. (service discovery, job mgmt, config mgmt, log aggregation, metric collection, etc) 3. Allow Developers to focus on the business domain. (show creativity and talent to create great domain designs, hidden behind beautiful APIs)